ML4H 2023 : Machine Learning for Health
Call For Papers
The 2023 Machine Learning for Health Symposium (ML4H) invites submissions describing innovative research that lies in the broad purview of Machine Learning for Health. Authors are invited to submit work on relevant problems in a variety of health-related disciplines, including healthcare, biomedicine, and public health. For full details, refer to the online Call for Participation: https://ml4health.github.io/2023/call_for_participation.html
This year, ML4H 2023 will accept submissions for two distinct tracks: the Proceedings track for formal archival publications and the non-archival Findings track. Submissions are due on September 7th, 11:59 PM AoE in the form of anonymized PDF files. All submissions for ML4H 2023 will be managed through the OpenReview system (https://openreview.net/group?id=ML4H/2023/Symposium).
Similar to last year, we have a full author response period and reviewer discussion period to ensure proper feedback on the work. ML4H 2023 will feature two thematic sessions: Global Health + Equity and Generative AI for Health. While we especially encourage submissions relevant to this year’s themes, any submission that falls under the purview of machine learning for health is welcome. Submissions will be considered for awards, including Best Proceedings Paper, Best Findings Paper, Best Thematic Paper, and Best Newcomer Paper.
In response to the growing ML4H community, ML4H has transitioned into a standalone symposium rather than a NeurIPS-affiliated workshop. This event represents a continuation of prior ML4H workshops/symposiums (2016, 2017, 2018, 2019, 2020, 2021, 2022). This year, ML4H will remain co-located with NeurIPS, taking place in New Orleans, USA, on Sunday, Dec 10, 2023.
Aug 1: Submission site opens
Sep 7 AoE: Submission deadline
Oct 13: Author response period starts
Oct 18: Author response period ends
Nov 1: Decisions released
Nov 15: Camera-ready deadline
Dec 10: In-person event
This year, we are offering three mentorship programs at ML4H: Submission Mentorship, Reviewer Mentorship, and Career Mentorship. Please consider signing-up as a mentor or mentee!
The Author Mentorship Program pairs less experienced authors with senior researchers to provide feedback on their paper submission, with the overall goal of improving submission quality and fostering future collaboration.
Program details: https://ml4health.github.io/2023/author_mentorship.html
Mentee sign-up: https://forms.gle/RzR9yntvUjpV5Hgc7
Mentor sign-up: https://forms.gle/fh8j1Eq875H53jHD8
The Reviewer Mentorship Program aims to train junior reviewers, foster new connections and relationships in the ML4H community, and ultimately improve the quality of the review process. More details will be made available at: https://ml4health.github.io/2023/reviewer_mentorship.html.
The Career Mentorship Program focuses advice on career-related topics, from developing a research plan to work-life balance. More details will be made available at: https://ml4health.github.io/2023/career_mentorship.html
Please direct questions to: firstname.lastname@example.org and follow us on Twitter at @symposiumml4h.